[{"year":"2021","citation":{"ieee":"S. Gottschalk, M. S. Aziz, E. Yigitbas, and G. Engels, “Design Principles for a Crowd-Based Prototype Validation Platform,” in <i>Software Business - 12th International Conference, ICSOB 2021, Drammen, Norway, December 2-3, 2021, Proceedings</i>, 2021, vol. 434, pp. 205–220, doi: <a href=\"https://doi.org/10.1007/978-3-030-91983-2_16\">10.1007/978-3-030-91983-2_16</a>.","chicago":"Gottschalk, Sebastian, Muhammad Suffyan Aziz, Enes Yigitbas, and Gregor Engels. “Design Principles for a Crowd-Based Prototype Validation Platform.” In <i>Software Business - 12th International Conference, ICSOB 2021, Drammen, Norway, December 2-3, 2021, Proceedings</i>, edited by Xiaofeng Wang, Antonio Martini, Anh Nguyen-Duc, and Viktoria Stray, 434:205–220. Lecture Notes in Business Information Processing. Springer, 2021. <a href=\"https://doi.org/10.1007/978-3-030-91983-2_16\">https://doi.org/10.1007/978-3-030-91983-2_16</a>.","ama":"Gottschalk S, Aziz MS, Yigitbas E, Engels G. Design Principles for a Crowd-Based Prototype Validation Platform. In: Wang X, Martini A, Nguyen-Duc A, Stray V, eds. <i>Software Business - 12th International Conference, ICSOB 2021, Drammen, Norway, December 2-3, 2021, Proceedings</i>. Vol 434. Lecture Notes in Business Information Processing. Springer; 2021:205–220. doi:<a href=\"https://doi.org/10.1007/978-3-030-91983-2_16\">10.1007/978-3-030-91983-2_16</a>","short":"S. Gottschalk, M.S. Aziz, E. Yigitbas, G. Engels, in: X. Wang, A. Martini, A. Nguyen-Duc, V. Stray (Eds.), Software Business - 12th International Conference, ICSOB 2021, Drammen, Norway, December 2-3, 2021, Proceedings, Springer, 2021, pp. 205–220.","mla":"Gottschalk, Sebastian, et al. “Design Principles for a Crowd-Based Prototype Validation Platform.” <i>Software Business - 12th International Conference, ICSOB 2021, Drammen, Norway, December 2-3, 2021, Proceedings</i>, edited by Xiaofeng Wang et al., vol. 434, Springer, 2021, pp. 205–220, doi:<a href=\"https://doi.org/10.1007/978-3-030-91983-2_16\">10.1007/978-3-030-91983-2_16</a>.","bibtex":"@inproceedings{Gottschalk_Aziz_Yigitbas_Engels_2021, series={Lecture Notes in Business Information Processing}, title={Design Principles for a Crowd-Based Prototype Validation Platform}, volume={434}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-91983-2_16\">10.1007/978-3-030-91983-2_16</a>}, booktitle={Software Business - 12th International Conference, ICSOB 2021, Drammen, Norway, December 2-3, 2021, Proceedings}, publisher={Springer}, author={Gottschalk, Sebastian and Aziz, Muhammad Suffyan and Yigitbas, Enes and Engels, Gregor}, editor={Wang, Xiaofeng and Martini, Antonio and Nguyen-Duc, Anh and Stray, Viktoria}, year={2021}, pages={205–220}, collection={Lecture Notes in Business Information Processing} }","apa":"Gottschalk, S., Aziz, M. S., Yigitbas, E., &#38; Engels, G. (2021). Design Principles for a Crowd-Based Prototype Validation Platform. In X. Wang, A. Martini, A. Nguyen-Duc, &#38; V. Stray (Eds.), <i>Software Business - 12th International Conference, ICSOB 2021, Drammen, Norway, December 2-3, 2021, Proceedings</i> (Vol. 434, pp. 205–220). Springer. <a href=\"https://doi.org/10.1007/978-3-030-91983-2_16\">https://doi.org/10.1007/978-3-030-91983-2_16</a>"},"page":"205–220","intvolume":"       434","publisher":"Springer","date_updated":"2022-02-15T07:32:52Z","author":[{"full_name":"Gottschalk, Sebastian","id":"47208","last_name":"Gottschalk","first_name":"Sebastian"},{"first_name":"Muhammad Suffyan","full_name":"Aziz, Muhammad Suffyan","last_name":"Aziz"},{"orcid":"0000-0002-5967-833X","last_name":"Yigitbas","id":"8447","full_name":"Yigitbas, Enes","first_name":"Enes"},{"first_name":"Gregor","last_name":"Engels","id":"107","full_name":"Engels, Gregor"}],"date_created":"2022-01-11T12:43:22Z","volume":434,"title":"Design Principles for a Crowd-Based Prototype Validation Platform","doi":"10.1007/978-3-030-91983-2_16","type":"conference","publication":"Software Business - 12th International Conference, ICSOB 2021, Drammen, Norway, December 2-3, 2021, Proceedings","editor":[{"last_name":"Wang","full_name":"Wang, Xiaofeng","first_name":"Xiaofeng"},{"full_name":"Martini, Antonio","last_name":"Martini","first_name":"Antonio"},{"first_name":"Anh","full_name":"Nguyen-Duc, Anh","last_name":"Nguyen-Duc"},{"last_name":"Stray","full_name":"Stray, Viktoria","first_name":"Viktoria"}],"status":"public","project":[{"_id":"1","name":"SFB 901: SFB 901"},{"name":"SFB 901 - C: SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - C5: SFB 901 - Subproject C5","_id":"17"}],"_id":"29235","user_id":"47208","series_title":"Lecture Notes in Business Information Processing","department":[{"_id":"66"},{"_id":"534"}],"language":[{"iso":"eng"}]},{"status":"public","abstract":[{"text":"Developing effective business models is a complex process for a company where several tasks (e.g., conduct customer interviews) need to be accomplished, and decisions (e.g., advertisement as a revenue stream) must be made. Here, domain experts can guide the choices of tasks and decisions with their knowledge. Nevertheless, this knowledge needs to match the situation of the company (e.g., financial resources) and the application domain of the product/service (e.g., mobile app) to reduce the risk of developing ineffective business models with low market penetration. This is not covered by one-size-fits-all development methods without tailoring before the enaction.\r\nTherefore, we conduct a design science study to create a situation-specific development approach for business models. Based on situational method engineering and our previous work in storing knowledge of methods and models in distinct repositories, this paper shows the situation-specific composition and enaction of business model development methods. First, the method engineer composes the development method out of both repositories based on the situational context. Second, the business developer enacts the method and develops the business model.  We implement the approach in a tool and evaluate it with a industrial case study on mobile apps.","lang":"eng"}],"type":"book_chapter","publication":"Product-focused Software Process Improvement","language":[{"iso":"eng"}],"keyword":["Business Model Development","Situational Method Engineering","Lean Development","Kanban Boards","Canvas Models"],"user_id":"47208","department":[{"_id":"66"}],"project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - Subproject C5","_id":"17"}],"_id":"25528","citation":{"mla":"Gottschalk, Sebastian, et al. “Situation- and  Domain-Specific Composition and Enactment of Business Model Development Methods.” <i>Product-Focused Software Process Improvement</i>, Springer, 2021.","bibtex":"@inbook{Gottschalk_Yigitbas_Nowosad_Engels_2021, title={Situation- and  Domain-specific Composition and Enactment of Business Model Development Methods}, booktitle={Product-focused Software Process Improvement}, publisher={Springer}, author={Gottschalk, Sebastian and Yigitbas, Enes and Nowosad, Alexander and Engels, Gregor}, year={2021} }","short":"S. Gottschalk, E. Yigitbas, A. Nowosad, G. Engels, in: Product-Focused Software Process Improvement, Springer, 2021.","apa":"Gottschalk, S., Yigitbas, E., Nowosad, A., &#38; Engels, G. (2021). Situation- and  Domain-specific Composition and Enactment of Business Model Development Methods. In <i>Product-focused Software Process Improvement</i>. 22nd International Conference on Product-Focused Software Process Improvement, Turin. Springer.","ieee":"S. Gottschalk, E. Yigitbas, A. Nowosad, and G. Engels, “Situation- and  Domain-specific Composition and Enactment of Business Model Development Methods,” in <i>Product-focused Software Process Improvement</i>, Springer, 2021.","chicago":"Gottschalk, Sebastian, Enes Yigitbas, Alexander Nowosad, and Gregor Engels. “Situation- and  Domain-Specific Composition and Enactment of Business Model Development Methods.” In <i>Product-Focused Software Process Improvement</i>. Springer, 2021.","ama":"Gottschalk S, Yigitbas E, Nowosad A, Engels G. Situation- and  Domain-specific Composition and Enactment of Business Model Development Methods. In: <i>Product-Focused Software Process Improvement</i>. Springer; 2021."},"year":"2021","conference":{"location":"Turin","end_date":"2021-11-26","start_date":"2021-11-25","name":"22nd International Conference on Product-Focused Software Process Improvement"},"title":"Situation- and  Domain-specific Composition and Enactment of Business Model Development Methods","date_created":"2021-10-05T20:11:09Z","author":[{"id":"47208","full_name":"Gottschalk, Sebastian","last_name":"Gottschalk","first_name":"Sebastian"},{"first_name":"Enes","last_name":"Yigitbas","orcid":"0000-0002-5967-833X","full_name":"Yigitbas, Enes","id":"8447"},{"first_name":"Alexander","last_name":"Nowosad","full_name":"Nowosad, Alexander"},{"last_name":"Engels","full_name":"Engels, Gregor","id":"107","first_name":"Gregor"}],"date_updated":"2022-02-15T08:36:09Z","publisher":"Springer"},{"citation":{"chicago":"Schubert, Philipp, Ben Hermann, and Eric Bodden. “Lossless, Persisted Summarization of Static Callgraph, Points-To and Data-Flow Analysis.” In <i>European Conference on Object-Oriented Programming (ECOOP)</i>, 2021.","ieee":"P. Schubert, B. Hermann, and E. Bodden, “Lossless, Persisted Summarization of Static Callgraph, Points-To and Data-Flow Analysis,” 2021.","mla":"Schubert, Philipp, et al. “Lossless, Persisted Summarization of Static Callgraph, Points-To and Data-Flow Analysis.” <i>European Conference on Object-Oriented Programming (ECOOP)</i>, 2021.","bibtex":"@inproceedings{Schubert_Hermann_Bodden_2021, title={Lossless, Persisted Summarization of Static Callgraph, Points-To and Data-Flow Analysis}, booktitle={European Conference on Object-Oriented Programming (ECOOP)}, author={Schubert, Philipp and Hermann, Ben and Bodden, Eric}, year={2021} }","short":"P. Schubert, B. Hermann, E. Bodden, in: European Conference on Object-Oriented Programming (ECOOP), 2021.","ama":"Schubert P, Hermann B, Bodden E. Lossless, Persisted Summarization of Static Callgraph, Points-To and Data-Flow Analysis. In: <i>European Conference on Object-Oriented Programming (ECOOP)</i>. ; 2021.","apa":"Schubert, P., Hermann, B., &#38; Bodden, E. (2021). Lossless, Persisted Summarization of Static Callgraph, Points-To and Data-Flow Analysis. <i>European Conference on Object-Oriented Programming (ECOOP)</i>."},"year":"2021","date_created":"2021-04-08T11:24:59Z","author":[{"first_name":"Philipp","orcid":"0000-0002-8674-1859","last_name":"Schubert","full_name":"Schubert, Philipp","id":"60543"},{"first_name":"Ben","orcid":"0000-0001-9848-2017","last_name":"Hermann","id":"66173","full_name":"Hermann, Ben"},{"first_name":"Eric","orcid":"0000-0003-3470-3647","last_name":"Bodden","full_name":"Bodden, Eric","id":"59256"}],"date_updated":"2022-03-25T07:49:35Z","oa":"1","main_file_link":[{"url":"https://drops.dagstuhl.de/opus/volltexte/2021/14045/","open_access":"1"}],"title":"Lossless, Persisted Summarization of Static Callgraph, Points-To and Data-Flow Analysis","publication":"European Conference on Object-Oriented Programming (ECOOP)","type":"conference","status":"public","abstract":[{"lang":"eng","text":"Static analysis is used to automatically detect bugs and security breaches, and aids compileroptimization. Whole-program analysis (WPA) can yield high precision, however causes long analysistimes and thus does not match common software-development workflows, making it often impracticalto use for large, real-world applications.This paper thus presents the design and implementation ofModAlyzer, a novel static-analysisapproach that aims at accelerating whole-program analysis by making the analysis modular andcompositional. It shows how to computelossless, persisted summaries for callgraph, points-to anddata-flow information, and it reports under which circumstances this function-level compositionalanalysis outperforms WPA.We implementedModAlyzeras an extension to LLVM and PhASAR, and applied it to 12 real-world C and C++ applications. At analysis time,ModAlyzermodularly and losslessly summarizesthe analysis effect of the library code those applications share, hence avoiding its repeated re-analysis.The experimental results show that the reuse of these summaries can save, on average, 72% ofanalysis time over WPA. Moreover, because it is lossless, the module-wise analysis fully retainsprecision and recall. Surprisingly, as our results show, it sometimes even yields precision superior toWPA. The initial summary generation, on average, takes about 3.67 times as long as WPA."}],"department":[{"_id":"76"}],"user_id":"60543","_id":"21598","project":[{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901 - Subproject B4","_id":"12"},{"_id":"1","name":"SFB 901"}],"language":[{"iso":"eng"}]},{"year":"2021","citation":{"apa":"Tornede, T., Tornede, A., Hanselle, J. M., Wever, M. D., Mohr, F., &#38; Hüllermeier, E. (2021). Towards Green Automated Machine Learning: Status Quo and Future Directions. In <i>arXiv:2111.05850</i>.","short":"T. Tornede, A. Tornede, J.M. Hanselle, M.D. Wever, F. Mohr, E. Hüllermeier, ArXiv:2111.05850 (2021).","bibtex":"@article{Tornede_Tornede_Hanselle_Wever_Mohr_Hüllermeier_2021, title={Towards Green Automated Machine Learning: Status Quo and Future Directions}, journal={arXiv:2111.05850}, author={Tornede, Tanja and Tornede, Alexander and Hanselle, Jonas Manuel and Wever, Marcel Dominik and Mohr, Felix and Hüllermeier, Eyke}, year={2021} }","mla":"Tornede, Tanja, et al. “Towards Green Automated Machine Learning: Status Quo and Future Directions.” <i>ArXiv:2111.05850</i>, 2021.","ama":"Tornede T, Tornede A, Hanselle JM, Wever MD, Mohr F, Hüllermeier E. Towards Green Automated Machine Learning: Status Quo and Future Directions. <i>arXiv:211105850</i>. Published online 2021.","chicago":"Tornede, Tanja, Alexander Tornede, Jonas Manuel Hanselle, Marcel Dominik Wever, Felix Mohr, and Eyke Hüllermeier. “Towards Green Automated Machine Learning: Status Quo and Future Directions.” <i>ArXiv:2111.05850</i>, 2021.","ieee":"T. Tornede, A. Tornede, J. M. Hanselle, M. D. Wever, F. Mohr, and E. Hüllermeier, “Towards Green Automated Machine Learning: Status Quo and Future Directions,” <i>arXiv:2111.05850</i>. 2021."},"date_updated":"2022-04-12T12:01:23Z","date_created":"2022-04-12T11:57:15Z","author":[{"first_name":"Tanja","last_name":"Tornede","full_name":"Tornede, Tanja","id":"40795"},{"first_name":"Alexander","last_name":"Tornede","id":"38209","full_name":"Tornede, Alexander"},{"full_name":"Hanselle, Jonas Manuel","id":"43980","last_name":"Hanselle","orcid":"0000-0002-1231-4985","first_name":"Jonas Manuel"},{"first_name":"Marcel Dominik","last_name":"Wever","orcid":" https://orcid.org/0000-0001-9782-6818","id":"33176","full_name":"Wever, Marcel Dominik"},{"last_name":"Mohr","full_name":"Mohr, Felix","first_name":"Felix"},{"last_name":"Hüllermeier","id":"48129","full_name":"Hüllermeier, Eyke","first_name":"Eyke"}],"title":"Towards Green Automated Machine Learning: Status Quo and Future Directions","publication":"arXiv:2111.05850","type":"preprint","abstract":[{"text":"Automated machine learning (AutoML) strives for the automatic configuration\r\nof machine learning algorithms and their composition into an overall (software)\r\nsolution - a machine learning pipeline - tailored to the learning task\r\n(dataset) at hand. Over the last decade, AutoML has developed into an\r\nindependent research field with hundreds of contributions. While AutoML offers\r\nmany prospects, it is also known to be quite resource-intensive, which is one\r\nof its major points of criticism. The primary cause for a high resource\r\nconsumption is that many approaches rely on the (costly) evaluation of many\r\nmachine learning pipelines while searching for good candidates. This problem is\r\namplified in the context of research on AutoML methods, due to large scale\r\nexperiments conducted with many datasets and approaches, each of them being run\r\nwith several repetitions to rule out random effects. In the spirit of recent\r\nwork on Green AI, this paper is written in an attempt to raise the awareness of\r\nAutoML researchers for the problem and to elaborate on possible remedies. To\r\nthis end, we identify four categories of actions the community may take towards\r\nmore sustainable research on AutoML, i.e. Green AutoML: design of AutoML\r\nsystems, benchmarking, transparency and research incentives.","lang":"eng"}],"status":"public","external_id":{"arxiv":["2111.05850"]},"_id":"30866","project":[{"_id":"1","name":"SFB 901: SFB 901"},{"_id":"3","name":"SFB 901 - B: SFB 901 - Project Area B"},{"name":"SFB 901 - B2: SFB 901 - Subproject B2","_id":"10"}],"department":[{"_id":"34"},{"_id":"7"},{"_id":"26"}],"user_id":"38209","language":[{"iso":"eng"}]},{"author":[{"first_name":"Marcel Dominik","full_name":"Wever, Marcel Dominik","id":"33176","last_name":"Wever","orcid":" https://orcid.org/0000-0001-9782-6818"}],"supervisor":[{"first_name":"Eyke","id":"48129","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier"}],"date_created":"2021-11-08T14:05:19Z","oa":"1","date_updated":"2022-04-13T09:39:56Z","doi":"10.17619/UNIPB/1-1302","title":"Automated Machine Learning for Multi-Label Classification","publication_status":"published","has_accepted_license":"1","citation":{"ama":"Wever MD. <i>Automated Machine Learning for Multi-Label Classification</i>.; 2021. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1302\">10.17619/UNIPB/1-1302</a>","ieee":"M. D. Wever, <i>Automated Machine Learning for Multi-Label Classification</i>. 2021.","chicago":"Wever, Marcel Dominik. <i>Automated Machine Learning for Multi-Label Classification</i>, 2021. <a href=\"https://doi.org/10.17619/UNIPB/1-1302\">https://doi.org/10.17619/UNIPB/1-1302</a>.","short":"M.D. Wever, Automated Machine Learning for Multi-Label Classification, 2021.","bibtex":"@book{Wever_2021, title={Automated Machine Learning for Multi-Label Classification}, DOI={<a href=\"https://doi.org/10.17619/UNIPB/1-1302\">10.17619/UNIPB/1-1302</a>}, author={Wever, Marcel Dominik}, year={2021} }","mla":"Wever, Marcel Dominik. <i>Automated Machine Learning for Multi-Label Classification</i>. 2021, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1302\">10.17619/UNIPB/1-1302</a>.","apa":"Wever, M. D. (2021). <i>Automated Machine Learning for Multi-Label Classification</i>. <a href=\"https://doi.org/10.17619/UNIPB/1-1302\">https://doi.org/10.17619/UNIPB/1-1302</a>"},"year":"2021","user_id":"33176","department":[{"_id":"355"}],"project":[{"name":"SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901 - Subproject B2","_id":"10"}],"_id":"27284","language":[{"iso":"eng"}],"file_date_updated":"2022-04-13T09:39:56Z","ddc":["000"],"type":"dissertation","file":[{"content_type":"application/pdf","relation":"main_file","creator":"wever","date_created":"2022-04-13T09:35:25Z","date_updated":"2022-04-13T09:39:56Z","file_id":"30886","file_name":"dissertation_publish_upload.pdf","access_level":"open_access","file_size":8098177}],"status":"public"},{"title":"Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting","date_created":"2021-05-07T16:31:05Z","publisher":"Springer","year":"2021","language":[{"iso":"eng"}],"ddc":["004"],"file":[{"creator":"jkers","date_created":"2022-07-14T08:00:35Z","date_updated":"2022-07-14T08:00:35Z","access_level":"closed","file_id":"32362","file_name":"Kersting & Geierhos (2021b), Kersting2021b.pdf","file_size":506329,"content_type":"application/pdf","relation":"main_file","success":1}],"abstract":[{"text":"In this study, we describe a text processing pipeline that transforms user-generated text into structured data. To do this, we train neural and transformer-based models for aspect-based sentiment analysis. As most research deals with explicit aspects from product or service data, we extract and classify implicit and explicit aspect phrases from German-language physician review texts. Patients often rate on the basis of perceived friendliness or competence. The vocabulary is difficult, the topic sensitive, and the data user-generated. The aspect phrases come with various wordings using insertions and are not noun-based, which makes the presented case equally relevant and reality-based. To find complex, indirect aspect phrases, up-to-date deep learning approaches must be combined with supervised training data. We describe three aspect phrase datasets, one of them new, as well as a newly annotated aspect polarity dataset. Alongside this, we build an algorithm to rate the aspect phrase importance. All in all, we train eight transformers on the new raw data domain, compare 54 neural aspect extraction models and, based on this, create eight aspect polarity models for our pipeline. These models are evaluated by using Precision, Recall, and F-Score measures. Finally, we evaluate our aspect phrase importance measure algorithm.","lang":"eng"}],"publication":"Natural Language Processing and Information Systems","conference":{"end_date":"2021-06-25","location":"Saarbrücken, Germany","name":"26th International Conference on Natural Language & Information Systems (NLDB 2021)","start_date":"2021-06-23"},"author":[{"full_name":"Kersting, Joschka","id":"58701","last_name":"Kersting","first_name":"Joschka"},{"first_name":"Michaela","orcid":"0000-0002-8180-5606","last_name":"Geierhos","id":"42496","full_name":"Geierhos, Michaela"}],"volume":12801,"date_updated":"2022-07-14T08:00:56Z","citation":{"ama":"Kersting J, Geierhos M. Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting. In: Kapetanios E, Horacek H, Métais E, Meziane F, eds. <i>Natural Language Processing and Information Systems</i>. Vol 12801. Lecture Notes in Computer Science. Springer; 2021:231--242.","ieee":"J. Kersting and M. Geierhos, “Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting,” in <i>Natural Language Processing and Information Systems</i>, vol. 12801, E. Kapetanios, H. Horacek, E. Métais, and F. Meziane, Eds. Saarbrücken, Germany: Springer, 2021, pp. 231--242.","chicago":"Kersting, Joschka, and Michaela Geierhos. “Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting.” In <i>Natural Language Processing and Information Systems</i>, edited by Epaminondas Kapetanios, Helmut Horacek, Elisabeth Métais, and Farid Meziane, 12801:231--242. Lecture Notes in Computer Science. Saarbrücken, Germany: Springer, 2021.","bibtex":"@inbook{Kersting_Geierhos_2021, place={Saarbrücken, Germany}, series={Lecture Notes in Computer Science}, title={Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting}, volume={12801}, booktitle={Natural Language Processing and Information Systems}, publisher={Springer}, author={Kersting, Joschka and Geierhos, Michaela}, editor={Kapetanios, Epaminondas and Horacek, Helmut and Métais, Elisabeth and Meziane, Farid}, year={2021}, pages={231--242}, collection={Lecture Notes in Computer Science} }","short":"J. Kersting, M. Geierhos, in: E. Kapetanios, H. Horacek, E. Métais, F. Meziane (Eds.), Natural Language Processing and Information Systems, Springer, Saarbrücken, Germany, 2021, pp. 231--242.","mla":"Kersting, Joschka, and Michaela Geierhos. “Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting.” <i>Natural Language Processing and Information Systems</i>, edited by Epaminondas Kapetanios et al., vol. 12801, Springer, 2021, pp. 231--242.","apa":"Kersting, J., &#38; Geierhos, M. (2021). Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting. In E. Kapetanios, H. Horacek, E. Métais, &#38; F. Meziane (Eds.), <i>Natural Language Processing and Information Systems</i> (Vol. 12801, pp. 231--242). Springer."},"page":"231--242","intvolume":"     12801","place":"Saarbrücken, Germany","publication_status":"published","has_accepted_license":"1","file_date_updated":"2022-07-14T08:00:35Z","series_title":"Lecture Notes in Computer Science","user_id":"58701","department":[{"_id":"579"}],"project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area B","_id":"3"},{"_id":"9","name":"SFB 901 - Subproject B1"}],"_id":"22052","status":"public","editor":[{"last_name":"Kapetanios","full_name":"Kapetanios, Epaminondas","first_name":"Epaminondas"},{"last_name":"Horacek","full_name":"Horacek, Helmut","first_name":"Helmut"},{"first_name":"Elisabeth","full_name":"Métais, Elisabeth","last_name":"Métais"},{"full_name":"Meziane, Farid","last_name":"Meziane","first_name":"Farid"}],"type":"book_chapter"},{"user_id":"16205","project":[{"_id":"1","name":"SFB 901"},{"_id":"2","name":"SFB 901 - Project Area A"},{"_id":"8","name":"SFB 901 - Subproject A4"}],"_id":"24671","language":[{"iso":"ger"}],"type":"bachelorsthesis","status":"public","date_created":"2021-09-17T13:12:20Z","supervisor":[{"first_name":"Dennis","full_name":"Kundisch, Dennis","id":"21117","last_name":"Kundisch"}],"author":[{"full_name":"Ahmeckovic, Emina","last_name":"Ahmeckovic","first_name":"Emina"}],"date_updated":"2022-07-14T13:05:11Z","title":"Die Sterne sind für alle da - Eine empirische Untersuchung zu Anforderungen der Gestaltung von barrierefreien Online-Bewertungssystemen","citation":{"chicago":"Ahmeckovic, Emina. <i>Die Sterne sind für alle da - Eine empirische Untersuchung zu Anforderungen der Gestaltung von barrierefreien Online-Bewertungssystemen</i>. Universität Paderborn, 2021.","ieee":"E. Ahmeckovic, <i>Die Sterne sind für alle da - Eine empirische Untersuchung zu Anforderungen der Gestaltung von barrierefreien Online-Bewertungssystemen</i>. Universität Paderborn, 2021.","ama":"Ahmeckovic E. <i>Die Sterne sind für alle da - Eine empirische Untersuchung zu Anforderungen der Gestaltung von barrierefreien Online-Bewertungssystemen</i>.; 2021.","mla":"Ahmeckovic, Emina. <i>Die Sterne sind für alle da - Eine empirische Untersuchung zu Anforderungen der Gestaltung von barrierefreien Online-Bewertungssystemen</i>. 2021.","short":"E. 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